Pass Python Institute PCAP-31-03 exam questions – convert Test Engine to PDF [Q18-Q32]

Pass Python Institute PCAP-31-03 exam questions – convert Test Engine to PDF

Pass Your PCAP-31-03 Exam Easily – Real PCAP-31-03 Practice Dump Updated Apr 27, 2023

Topics of PCAP – Certified Associate in Python Programming (PCAP-31-03) Exam

The syllabus for the PCAP-31-03 exam dumps is listed below in detail of each section and their topics:

1. Control and Evaluations (25%)

Objectives covered by this section:

• simple strings: constructing, assigning, indexing, slicing comparing, immutability
• literals: Boolean, integer, floating-point numbers, scientific notation, strings
• building loops: while, for, range(), in, iterating through sequences
• simple lists: constructing vectors, indexing, and slicing, the len() function
• Boolean operators: not and or
• controlling loop execution: break, continue
• expanding loops: while-else, for-else, nesting loops, and conditional statements
• bitwise operators: ~ & ^ | « »
• assignments and shortcut operators
• numeric operators: * / % // + –
• operators: unary and binary, priorities and binding

2. Data Aggregates (25%)

Objectives covered by this section:

• tuples vs. lists: similarities and differences, lists inside tuples and tuples inside lists
• lists in lists: matrices and cubes
• strings in detail: ASCII, UNICODE, UTF-8, immutability, escaping using the character, quotes and apostrophes inside strings, multiline strings, copying vs. cloning, advanced slicing, string vs. string, string vs. non-string, basic string methods (upper(), lower(), isxxx(), capitalize(), split(), join(), etc.) and functions (len(), chr(), ord()), escape characters
• dictionaries: building, indexing, adding and removing keys, iterating through dictionaries as well as their keys and values, checking key existence, keys(), items(), and values() methods
• tuples: indexing, slicing, building, immutability

3. Functions and Modules (25%)

Objectives covered by this section:

• converting generator objects into lists using the list() function
• the if operator
• hiding module entities
• lambda functions, defining and using
• defining and invoking your functions and generators
• import directives, qualifying entities with module names, initializing modules
• return and yield keywords, returning results, the None keyword, recursion
• writing and using modules, the name variable
• name scopes, name hiding (shadowing), the global keyword
• map(), filter(), reduce(), reversed(), sorted() functions and the sort() method
• Python hashbangs, using multiline strings as module documentation
• pyc file creation and usage
• parameters vs. arguments, positional keyword and mixed argument passing, default parameter values

4. Classes, Objects, and Exceptions (25%)

Objectives covered by this section:

• exceptions hierarchy, assigning more than one exception to one except branch
• single inheritance vs. multiple inheritances
• introspection: dict, name, module, bases properties, examining class/object structure
• class methods: defining and using the self-parameter meaning and usage
• the try-except-else-finally block, the raise statement, the except-as variant
• read(), readinto(), readline(), write(), close() methods
• defining your classes, superclasses, subclasses, inheritance, searching for missing class components, creating objects
• the init method
• the anatomy of an exception object
• inheritance and overriding, finding class/object components
• assertions
• adding your exceptions to an existing hierarchy
• writing and using constructors

 

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